id: 1 unit: def experiment_main() file: bayesmark/experiment.py start line: 0 end line: 0 size: 99 LOC McCabe index: 11 number of parameters: 2 id: 2 unit: def compute_aggregates() file: bayesmark/experiment_analysis.py start line: 0 end line: 0 size: 83 LOC McCabe index: 11 number of parameters: 3 id: 3 unit: def run_study() file: bayesmark/experiment.py start line: 0 end line: 0 size: 61 LOC McCabe index: 11 number of parameters: 6 id: 4 unit: def main() file: bayesmark/experiment_analysis.py start line: 0 end line: 0 size: 60 LOC McCabe index: 9 number of parameters: 0 id: 5 unit: def compute_baseline() file: bayesmark/experiment_baseline.py start line: 0 end line: 0 size: 52 LOC McCabe index: 9 number of parameters: 1 id: 6 unit: def __init__() file: bayesmark/space.py start line: 0 end line: 0 size: 49 LOC McCabe index: 14 number of parameters: 6 id: 7 unit: def gen_commands() file: bayesmark/experiment_launcher.py start line: 0 end line: 0 size: 46 LOC McCabe index: 22 number of parameters: 3 id: 8 unit: def get_hyperopt_dimensions() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 40 LOC McCabe index: 12 number of parameters: 1 id: 9 unit: def get_hyperopt_dimensions() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 40 LOC McCabe index: 12 number of parameters: 1 id: 10 unit: def get_nvg_dimensions() file: bayesmark/builtin_opt/nevergrad_optimizer.py start line: 0 end line: 0 size: 38 LOC McCabe index: 8 number of parameters: 1 id: 11 unit: def get_nvg_dimensions() file: example_opt_root/nevergrad_optimizer.py start line: 0 end line: 0 size: 38 LOC McCabe index: 8 number of parameters: 1 id: 12 unit: def concat_experiments() file: bayesmark/experiment_aggregate.py start line: 0 end line: 0 size: 37 LOC McCabe index: 11 number of parameters: 2 id: 13 unit: def get_sk_dimensions() file: bayesmark/builtin_opt/scikit_optimizer.py start line: 0 end line: 0 size: 33 LOC McCabe index: 11 number of parameters: 2 id: 14 unit: def get_sk_dimensions() file: example_opt_root/scikit_optimizer.py start line: 0 end line: 0 size: 33 LOC McCabe index: 11 number of parameters: 2 id: 15 unit: def build_manipulator() file: bayesmark/builtin_opt/opentuner_optimizer.py start line: 0 end line: 0 size: 31 LOC McCabe index: 12 number of parameters: 1 id: 16 unit: def build_manipulator() file: example_opt_root/opentuner_optimizer.py start line: 0 end line: 0 size: 31 LOC McCabe index: 12 number of parameters: 1 id: 17 unit: def main() file: bayesmark/experiment_launcher.py start line: 0 end line: 0 size: 30 LOC McCabe index: 10 number of parameters: 0 id: 18 unit: def __init__() file: bayesmark/builtin_opt/opentuner_optimizer.py start line: 0 end line: 0 size: 29 LOC McCabe index: 2 number of parameters: 4 id: 19 unit: def __init__() file: example_opt_root/opentuner_optimizer.py start line: 0 end line: 0 size: 29 LOC McCabe index: 2 number of parameters: 4 id: 20 unit: def __init__() file: bayesmark/sklearn_funcs.py start line: 0 end line: 0 size: 28 LOC McCabe index: 6 number of parameters: 6 id: 21 unit: def load_experiments() file: bayesmark/experiment_aggregate.py start line: 0 end line: 0 size: 27 LOC McCabe index: 5 number of parameters: 3 id: 22 unit: def launcher_parser() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 26 LOC McCabe index: 4 number of parameters: 1 id: 23 unit: def load_rev_number() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 25 LOC McCabe index: 15 number of parameters: 0 id: 24 unit: def suggest() file: bayesmark/builtin_opt/opentuner_optimizer.py start line: 0 end line: 0 size: 25 LOC McCabe index: 10 number of parameters: 2 id: 25 unit: def suggest() file: example_opt_root/opentuner_optimizer.py start line: 0 end line: 0 size: 25 LOC McCabe index: 10 number of parameters: 2 id: 26 unit: def _csv_loader() file: bayesmark/data.py start line: 0 end line: 0 size: 24 LOC McCabe index: 12 number of parameters: 4 id: 27 unit: def main() file: bayesmark/experiment_aggregate.py start line: 0 end line: 0 size: 23 LOC McCabe index: 6 number of parameters: 0 id: 28 unit: def suggest() file: bayesmark/builtin_opt/pysot_optimizer.py start line: 0 end line: 0 size: 23 LOC McCabe index: 4 number of parameters: 2 id: 29 unit: def suggest() file: example_opt_root/pysot_optimizer.py start line: 0 end line: 0 size: 23 LOC McCabe index: 4 number of parameters: 2 id: 30 unit: def evaluate() file: bayesmark/sklearn_funcs.py start line: 0 end line: 0 size: 22 LOC McCabe index: 2 number of parameters: 2 id: 31 unit: def start() file: bayesmark/builtin_opt/pysot_optimizer.py start line: 0 end line: 0 size: 22 LOC McCabe index: 1 number of parameters: 2 id: 32 unit: def start() file: example_opt_root/pysot_optimizer.py start line: 0 end line: 0 size: 22 LOC McCabe index: 1 number of parameters: 2 id: 33 unit: def dry_run() file: bayesmark/experiment_launcher.py start line: 0 end line: 0 size: 20 LOC McCabe index: 4 number of parameters: 5 id: 34 unit: def da_concat() file: bayesmark/xr_util.py start line: 0 end line: 0 size: 20 LOC McCabe index: 5 number of parameters: 2 id: 35 unit: def analyze_signatures() file: bayesmark/signatures.py start line: 0 end line: 0 size: 18 LOC McCabe index: 4 number of parameters: 1 id: 36 unit: def _check_x_y() file: bayesmark/random_search.py start line: 0 end line: 0 size: 18 LOC McCabe index: 7 number of parameters: 3 id: 37 unit: def _get_opt_class() file: bayesmark/experiment.py start line: 0 end line: 0 size: 18 LOC McCabe index: 7 number of parameters: 1 id: 38 unit: def warp() file: bayesmark/space.py start line: 0 end line: 0 size: 17 LOC McCabe index: 5 number of parameters: 2 id: 39 unit: def __init__() file: bayesmark/sklearn_funcs.py start line: 0 end line: 0 size: 15 LOC McCabe index: 4 number of parameters: 5 id: 40 unit: def robust_standardize() file: bayesmark/stats.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 2 id: 41 unit: def real_run() file: bayesmark/experiment_launcher.py start line: 0 end line: 0 size: 15 LOC McCabe index: 5 number of parameters: 4 id: 42 unit: def linear_rescale() file: bayesmark/np_util.py start line: 0 end line: 0 size: 15 LOC McCabe index: 2 number of parameters: 6 id: 43 unit: def init_db() file: bayesmark/serialize.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 4 id: 44 unit: def check_array() file: bayesmark/space.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 6 id: 45 unit: def __init__() file: bayesmark/space.py start line: 0 end line: 0 size: 14 LOC McCabe index: 3 number of parameters: 4 id: 46 unit: def experiment_parser() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 14 LOC McCabe index: 4 number of parameters: 1 id: 47 unit: def _quantile_CI() file: bayesmark/quantiles.py start line: 0 end line: 0 size: 14 LOC McCabe index: 3 number of parameters: 3 id: 48 unit: def __init__() file: bayesmark/builtin_opt/scikit_optimizer.py start line: 0 end line: 0 size: 14 LOC McCabe index: 4 number of parameters: 6 id: 49 unit: def prewarp() file: bayesmark/builtin_opt/nevergrad_optimizer.py start line: 0 end line: 0 size: 14 LOC McCabe index: 3 number of parameters: 2 id: 50 unit: def prewarp() file: example_opt_root/nevergrad_optimizer.py start line: 0 end line: 0 size: 14 LOC McCabe index: 3 number of parameters: 2 id: 51 unit: def get_perf_array() file: bayesmark/experiment_analysis.py start line: 0 end line: 0 size: 13 LOC McCabe index: 1 number of parameters: 2 id: 52 unit: def __init__() file: bayesmark/space.py start line: 0 end line: 0 size: 13 LOC McCabe index: 5 number of parameters: 2 id: 53 unit: def do_baseline() file: bayesmark/experiment_baseline.py start line: 0 end line: 0 size: 13 LOC McCabe index: 5 number of parameters: 1 id: 54 unit: def postwarp() file: bayesmark/builtin_opt/nevergrad_optimizer.py start line: 0 end line: 0 size: 13 LOC McCabe index: 3 number of parameters: 2 id: 55 unit: def __init__() file: example_opt_root/scikit_optimizer.py start line: 0 end line: 0 size: 13 LOC McCabe index: 3 number of parameters: 5 id: 56 unit: def postwarp() file: example_opt_root/nevergrad_optimizer.py start line: 0 end line: 0 size: 13 LOC McCabe index: 3 number of parameters: 2 id: 57 unit: def t_EB() file: bayesmark/stats.py start line: 0 end line: 0 size: 12 LOC McCabe index: 5 number of parameters: 3 id: 58 unit: def parse_args() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 12 LOC McCabe index: 6 number of parameters: 2 id: 59 unit: def max_quantile_CI() file: bayesmark/quantiles.py start line: 0 end line: 0 size: 12 LOC McCabe index: 8 number of parameters: 4 id: 60 unit: def min_quantile_CI() file: bayesmark/quantiles.py start line: 0 end line: 0 size: 12 LOC McCabe index: 9 number of parameters: 4 id: 61 unit: def is_simple_coords() file: bayesmark/xr_util.py start line: 0 end line: 0 size: 12 LOC McCabe index: 9 number of parameters: 3 id: 62 unit: def build_suggest_ds() file: bayesmark/experiment.py start line: 0 end line: 0 size: 12 LOC McCabe index: 6 number of parameters: 1 id: 63 unit: def suggest() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 4 number of parameters: 2 id: 64 unit: def observe() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 3 id: 65 unit: def suggest() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 4 number of parameters: 2 id: 66 unit: def observe() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 12 LOC McCabe index: 2 number of parameters: 3 id: 67 unit: def __init__() file: bayesmark/space.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 4 id: 68 unit: def clip_chk() file: bayesmark/np_util.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 4 id: 69 unit: def infer_settings() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 11 LOC McCabe index: 5 number of parameters: 2 id: 70 unit: def ds_concat() file: bayesmark/xr_util.py start line: 0 end line: 0 size: 11 LOC McCabe index: 6 number of parameters: 2 id: 71 unit: def get_expected_max_weights() file: bayesmark/expected_max.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 2 id: 72 unit: def validate() file: bayesmark/experiment_baseline.py start line: 0 end line: 0 size: 11 LOC McCabe index: 2 number of parameters: 1 id: 73 unit: def build_timing_ds() file: bayesmark/experiment.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 3 id: 74 unit: def observe() file: bayesmark/builtin_opt/opentuner_optimizer.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 3 id: 75 unit: def _suggest() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 1 id: 76 unit: def observe() file: example_opt_root/opentuner_optimizer.py start line: 0 end line: 0 size: 11 LOC McCabe index: 3 number of parameters: 3 id: 77 unit: def _suggest() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 11 LOC McCabe index: 1 number of parameters: 1 id: 78 unit: def suggest() file: example_opt_root/flaky_optimizer.py start line: 0 end line: 0 size: 11 LOC McCabe index: 5 number of parameters: 2 id: 79 unit: def unwarp() file: bayesmark/space.py start line: 0 end line: 0 size: 10 LOC McCabe index: 7 number of parameters: 3 id: 80 unit: def base_parser() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 0 id: 81 unit: def agg_parser() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 1 id: 82 unit: def quantile_CI() file: bayesmark/quantiles.py start line: 0 end line: 0 size: 10 LOC McCabe index: 5 number of parameters: 3 id: 83 unit: def coord_compat() file: bayesmark/xr_util.py start line: 0 end line: 0 size: 10 LOC McCabe index: 6 number of parameters: 2 id: 84 unit: def expected_max() file: bayesmark/expected_max.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 2 id: 85 unit: def _dump_xr() file: bayesmark/serialize.py start line: 0 end line: 0 size: 10 LOC McCabe index: 3 number of parameters: 3 id: 86 unit: def create_opt_prob() file: bayesmark/builtin_opt/pysot_optimizer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 1 id: 87 unit: def ClippedParam() file: bayesmark/builtin_opt/opentuner_optimizer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 88 unit: def create_opt_prob() file: example_opt_root/pysot_optimizer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 1 id: 89 unit: def ClippedParam() file: example_opt_root/opentuner_optimizer.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 90 unit: def get_problem_type() file: bayesmark/data.py start line: 0 end line: 0 size: 9 LOC McCabe index: 5 number of parameters: 1 id: 91 unit: def encode() file: bayesmark/space.py start line: 0 end line: 0 size: 9 LOC McCabe index: 5 number of parameters: 5 id: 92 unit: def strat_split() file: bayesmark/np_util.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 4 id: 93 unit: def cummin() file: bayesmark/np_util.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 94 unit: def load_optimizer_settings() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 1 id: 95 unit: def quantile() file: bayesmark/quantiles.py start line: 0 end line: 0 size: 9 LOC McCabe index: 3 number of parameters: 2 id: 96 unit: def ds_like_mixed() file: bayesmark/xr_util.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 4 id: 97 unit: def suggest_dict() file: bayesmark/random_search.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 5 id: 98 unit: def _check_bounds() file: bayesmark/random_search.py start line: 0 end line: 0 size: 9 LOC McCabe index: 5 number of parameters: 2 id: 99 unit: def build_eval_ds() file: bayesmark/experiment.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 100 unit: def __init__() file: bayesmark/builtin_opt/pysot_optimizer.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 101 unit: def main() file: bayesmark/experiment_db_init.py start line: 0 end line: 0 size: 9 LOC McCabe index: 2 number of parameters: 0 id: 102 unit: def __init__() file: example_opt_root/pysot_optimizer.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 2 id: 103 unit: def load_data() file: bayesmark/data.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 2 id: 104 unit: def _join_safe() file: bayesmark/path_util.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 1 id: 105 unit: def evaluate() file: bayesmark/sklearn_funcs.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 2 id: 106 unit: def decode() file: bayesmark/space.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 107 unit: def grid() file: bayesmark/space.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 2 id: 108 unit: def snap_to() file: bayesmark/np_util.py start line: 0 end line: 0 size: 8 LOC McCabe index: 6 number of parameters: 2 id: 109 unit: def summarize_time() file: bayesmark/experiment_aggregate.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 110 unit: def main() file: bayesmark/experiment_baseline.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 0 id: 111 unit: def load_optimizer_kwargs() file: bayesmark/experiment.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 2 id: 112 unit: def __init__() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 113 unit: def get_trial() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 2 id: 114 unit: def cleanup_guess() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 5 number of parameters: 2 id: 115 unit: def suggest() file: bayesmark/builtin_opt/nevergrad_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 2 id: 116 unit: def __init__() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 3 id: 117 unit: def get_trial() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 4 number of parameters: 2 id: 118 unit: def cleanup_guess() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 5 number of parameters: 2 id: 119 unit: def suggest() file: example_opt_root/nevergrad_optimizer.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 2 id: 120 unit: def range_str() file: bayesmark/util.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 121 unit: def str_join_safe() file: bayesmark/util.py start line: 0 end line: 0 size: 7 LOC McCabe index: 4 number of parameters: 3 id: 122 unit: def validate() file: bayesmark/space.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 3 id: 123 unit: def warp() file: bayesmark/space.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 124 unit: def unwarp() file: bayesmark/space.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 125 unit: def validate() file: bayesmark/space.py start line: 0 end line: 0 size: 7 LOC McCabe index: 5 number of parameters: 2 id: 126 unit: def joinable() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 1 id: 127 unit: def order_stats() file: bayesmark/quantiles.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 1 id: 128 unit: def init_db_manual() file: bayesmark/serialize.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 3 id: 129 unit: def load() file: bayesmark/serialize.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 4 id: 130 unit: def load_derived() file: bayesmark/serialize.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 3 id: 131 unit: def _validate() file: bayesmark/serialize.py start line: 0 end line: 0 size: 7 LOC McCabe index: 3 number of parameters: 2 id: 132 unit: def _build_test_problem() file: bayesmark/experiment.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 4 id: 133 unit: def _observe() file: bayesmark/builtin_opt/pysot_optimizer.py start line: 0 end line: 0 size: 7 LOC McCabe index: 4 number of parameters: 3 id: 134 unit: def suggest() file: bayesmark/builtin_opt/scikit_optimizer.py start line: 0 end line: 0 size: 7 LOC McCabe index: 5 number of parameters: 2 id: 135 unit: def _observe() file: example_opt_root/pysot_optimizer.py start line: 0 end line: 0 size: 7 LOC McCabe index: 4 number of parameters: 3 id: 136 unit: def suggest() file: example_opt_root/scikit_optimizer.py start line: 0 end line: 0 size: 7 LOC McCabe index: 5 number of parameters: 2 id: 137 unit: def chomp() file: bayesmark/util.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 138 unit: def unravel_index() file: bayesmark/space.py start line: 0 end line: 0 size: 6 LOC McCabe index: 3 number of parameters: 1 id: 139 unit: def warp() file: bayesmark/space.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 140 unit: def unwarp() file: bayesmark/space.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 141 unit: def validate_time() file: bayesmark/experiment_aggregate.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 142 unit: def validate_agg_perf() file: bayesmark/experiment_aggregate.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 143 unit: def get_func_signature() file: bayesmark/signatures.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 144 unit: def positive_int() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 1 id: 145 unit: def ds_like() file: bayesmark/xr_util.py start line: 0 end line: 0 size: 6 LOC McCabe index: 5 number of parameters: 4 id: 146 unit: def get_keys() file: bayesmark/serialize.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 2 id: 147 unit: def save() file: bayesmark/serialize.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 6 id: 148 unit: def save_derived() file: bayesmark/serialize.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 5 id: 149 unit: def logging_path() file: bayesmark/serialize.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 3 id: 150 unit: def __init__() file: bayesmark/builtin_opt/nevergrad_optimizer.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 151 unit: def __init__() file: example_opt_root/nevergrad_optimizer.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 4 id: 152 unit: def abspath() file: bayesmark/path_util.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 153 unit: def join_safe_w() file: bayesmark/path_util.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 1 id: 154 unit: def _is_arg_safe() file: bayesmark/experiment_launcher.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 155 unit: def arg_safe_str() file: bayesmark/experiment_launcher.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 156 unit: def shell_join() file: bayesmark/util.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 157 unit: def preimage_func() file: bayesmark/util.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 158 unit: def _error() file: bayesmark/space.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 159 unit: def validate_warped() file: bayesmark/space.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 3 id: 160 unit: def validate_perf() file: bayesmark/experiment_aggregate.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 161 unit: def filepath() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 162 unit: def uuid() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 163 unit: def ensure_shape() file: bayesmark/quantiles.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 164 unit: def get_derived_keys() file: bayesmark/serialize.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 165 unit: def get_uuids() file: bayesmark/serialize.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 166 unit: def _load_xr() file: bayesmark/serialize.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 167 unit: def get_objective_signature() file: bayesmark/experiment.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 4 id: 168 unit: def main() file: bayesmark/experiment.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 0 id: 169 unit: def observe() file: bayesmark/builtin_opt/pysot_optimizer.py start line: 0 end line: 0 size: 5 LOC McCabe index: 4 number of parameters: 3 id: 170 unit: def observe() file: bayesmark/builtin_opt/scikit_optimizer.py start line: 0 end line: 0 size: 5 LOC McCabe index: 7 number of parameters: 3 id: 171 unit: def observe() file: bayesmark/builtin_opt/nevergrad_optimizer.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 172 unit: def observe() file: example_opt_root/pysot_optimizer.py start line: 0 end line: 0 size: 5 LOC McCabe index: 4 number of parameters: 3 id: 173 unit: def observe() file: example_opt_root/scikit_optimizer.py start line: 0 end line: 0 size: 5 LOC McCabe index: 7 number of parameters: 3 id: 174 unit: def observe() file: example_opt_root/nevergrad_optimizer.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 3 id: 175 unit: def read_requirements() file: setup.py start line: 0 end line: 0 size: 5 LOC McCabe index: 3 number of parameters: 1 id: 176 unit: def absopen() file: bayesmark/path_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 177 unit: def join_safe_r() file: bayesmark/path_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 178 unit: def inverse_test_case_str() file: bayesmark/sklearn_funcs.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 179 unit: def get_version() file: bayesmark/abstract_optimizer.py start line: 0 end line: 0 size: 4 LOC McCabe index: 4 number of parameters: 1 id: 180 unit: def strict_sorted() file: bayesmark/util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 181 unit: def get_bounds() file: bayesmark/space.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 182 unit: def get_bounds() file: bayesmark/space.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 183 unit: def shuffle_2d() file: bayesmark/np_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 184 unit: def argmin_2d() file: bayesmark/np_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 185 unit: def analyze_signature_pair() file: bayesmark/signatures.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 186 unit: def namespace_to_dict() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 1 id: 187 unit: def serializable_dict() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 1 id: 188 unit: def unserializable_dict() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 4 LOC McCabe index: 3 number of parameters: 1 id: 189 unit: def add_argument() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 190 unit: def general_parser() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 191 unit: def _cleanup() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 192 unit: def only_dataarray() file: bayesmark/xr_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 193 unit: def da_to_string() file: bayesmark/xr_util.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 194 unit: def expected_min() file: bayesmark/expected_max.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 2 id: 195 unit: def _uuid_to_fname() file: bayesmark/serialize.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 196 unit: def _setup_seeds() file: bayesmark/experiment.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 1 id: 197 unit: def __init__() file: example_opt_root/flaky_optimizer.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 3 id: 198 unit: def get_api_config() file: bayesmark/sklearn_funcs.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 199 unit: def test_case_str() file: bayesmark/sklearn_funcs.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 200 unit: def all_unique() file: bayesmark/util.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 201 unit: def identity() file: bayesmark/space.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 202 unit: def bilog() file: bayesmark/space.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 203 unit: def biexp() file: bayesmark/space.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 204 unit: def __init__() file: bayesmark/space.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 4 id: 205 unit: def __init__() file: bayesmark/space.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 4 id: 206 unit: def grid() file: bayesmark/space.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 2 id: 207 unit: def random_seed() file: bayesmark/np_util.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 208 unit: def isclose_lte() file: bayesmark/np_util.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 209 unit: def arg_to_str() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 3 LOC McCabe index: 2 number of parameters: 1 id: 210 unit: def filename() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 211 unit: def cmd_str() file: bayesmark/cmd_parse.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 0 id: 212 unit: def _quantile() file: bayesmark/quantiles.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 213 unit: def quantile_and_CI() file: bayesmark/quantiles.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 214 unit: def _fname_to_uuid() file: bayesmark/serialize.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 215 unit: def _key_to_fname() file: bayesmark/serialize.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 216 unit: def _fname_to_key() file: bayesmark/serialize.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 217 unit: def hashable_dict() file: bayesmark/builtin_opt/opentuner_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 218 unit: def only() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 219 unit: def hashable_dict() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 220 unit: def __init__() file: bayesmark/builtin_opt/random_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 221 unit: def suggest() file: bayesmark/builtin_opt/random_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 222 unit: def hashable_dict() file: example_opt_root/opentuner_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 223 unit: def only() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 224 unit: def hashable_dict() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 1 id: 225 unit: def __init__() file: example_opt_root/random_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 3 id: 226 unit: def suggest() file: example_opt_root/random_optimizer.py start line: 0 end line: 0 size: 3 LOC McCabe index: 1 number of parameters: 2 id: 227 unit: def __init__() file: bayesmark/sklearn_funcs.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 228 unit: def __init__() file: bayesmark/abstract_optimizer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 229 unit: def suggest() file: bayesmark/abstract_optimizer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 230 unit: def observe() file: bayesmark/abstract_optimizer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 231 unit: def in_or_none() file: bayesmark/util.py start line: 0 end line: 0 size: 2 LOC McCabe index: 2 number of parameters: 2 id: 232 unit: def _encode() file: bayesmark/space.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 233 unit: def _decode() file: bayesmark/space.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 234 unit: def init_db() file: bayesmark/serialize.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 4 id: 235 unit: def get_keys() file: bayesmark/serialize.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 236 unit: def get_derived_keys() file: bayesmark/serialize.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 237 unit: def get_uuids() file: bayesmark/serialize.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 238 unit: def save() file: bayesmark/serialize.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 6 id: 239 unit: def load() file: bayesmark/serialize.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 4 id: 240 unit: def save_derived() file: bayesmark/serialize.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 5 id: 241 unit: def load_derived() file: bayesmark/serialize.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 242 unit: def run_sklearn_study() file: bayesmark/experiment.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 243 unit: def dummy_f() file: bayesmark/builtin_opt/hyperopt_optimizer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 244 unit: def observe() file: bayesmark/builtin_opt/random_optimizer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 245 unit: def dummy_f() file: example_opt_root/hyperopt_optimizer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 246 unit: def observe() file: example_opt_root/flaky_optimizer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 247 unit: def observe() file: example_opt_root/random_optimizer.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 248 unit: def evaluate() file: bayesmark/sklearn_funcs.py start line: 0 end line: 0 size: 1 LOC McCabe index: 1 number of parameters: 2